research
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09/13/2023
Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization
Federated learning algorithms perform reasonably well on independent and...
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03/17/2023
Dynamic Structure Pruning for Compressing CNNs
Structure pruning is an effective method to compress and accelerate neur...
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01/12/2023
Phase-shifted Adversarial Training
Adversarial training has been considered an imperative component for saf...
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06/10/2022
In Defense of Core-set: A Density-aware Core-set Selection for Active Learning
Active learning enables the efficient construction of a labeled dataset ...
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09/17/2021
